Patient‐oriented mobile applications in ophthalmology

REFERENCES

• Shabot MM. Medicine on the Internet. Proc (Bayl Univ Med Cent) 2001; 14: 27–31.
   PubMedGoogle Scholar
• Diaz JA, Griffith RA, Ng JJ et al. Patients' use of the Internet for medical information. J Gen Intern Med 2002; 17: 180–185.
   PubMed Web of Science ®Google Scholar
• Warden R. The Internet and science communication: blurring the boundaries. Ecancermedicalscience 2010; 4: 203.
   Google Scholar
• Boulos MN, Brewer AC, Karimkhani C et al. Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online J Public Health Inform 2014; 5: 229.
   PubMedGoogle Scholar
• Dimitrov DV. Medical Internet of things and big data in healthcare. Healthc Inform Res 2016; 22: 156–163.
   PubMed Web of Science ®Google Scholar
• Eysenbach G, Wyatt J. Using the Internet for surveys and health research. J Med Internet Res 2002; 4: E13.
   Web of Science ®Google Scholar
• Hartzband P, Groopman J. Untangling the Web‐‐patients, doctors, and the Internet. N Engl J Med 2010; 362: 1063–1066.
   PubMed Web of Science ®Google Scholar
• Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak 2012; 12: 67.
   PubMed Web of Science ®Google Scholar
• Ozdalga E, Ozdalga A, Ahuja N. The smartphone in medicine: a review of current and potential use among physicians and students. J Med Internet Res 2012; 14: e128.
   Web of Science ®Google Scholar
• National Eye Institute. Statistics and data. [Cited 4 Jun 2018.] Available at: https://www.nei.nih.gov/eyedata
   Google Scholar
• Abramoff MD, Folk JC, Han DP et al. Automated analysis of retinal images for detection of referable diabetic retinopathy. JAMA Ophthalmol 2013; 131: 351–357.
   PubMed Web of Science ®Google Scholar
• Zimmer‐galler I, Zeimer R. Results of implementation of the DigiScope for diabetic retinopathy assessment in the primary care environment. Telemed J E Health 2006; 12: 89–98.
   Web of Science ®Google Scholar
• Ting DS, Tay‐kearney ML, Kanagasingam Y. Light and portable novel device for diabetic retinopathy screening. Clin Exp Ophthalmol 2012; 40: e40–e46.
   PubMed Web of Science ®Google Scholar
• Lee A, Taylor P, Kalpathy‐cramer J et al. Machine learning has arrived! Ophthalmology 2017; 124: 1726–1728.
   PubMed Web of Science ®Google Scholar
• Kang H, Park HA. A mobile app for hypertension management based on clinical practice guidelines: development and deployment. JMIR Mhealth Uhealth 2016; 4: e12.
   Web of Science ®Google Scholar
• Green BB. BP here, there, and everywhere‐‐mobile health applications (apps) and hypertension care. J Am Soc Hypertens 2015; 9: 137–139.
   PubMed Web of Science ®Google Scholar
• Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: a systematic review and expert‐based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J Med Internet Res 2014; 16: e104.
   Web of Science ®Google Scholar
• Patel S, Jacobus‐kantor L, Marshall L et al. Mobilizing your medications: an automated medication reminder application for mobile phones and hypertension medication adherence in a high‐risk urban population. J Diabetes Sci Technol 2013; 7: 630–639.
   PubMedGoogle Scholar
• Coughlin S, Thind H, Liu B et al. Mobile phone apps for preventing cancer through educational and behavioral interventions: state of the art and remaining challenges. JMIR Mhealth Uhealth 2016; 4: e69.
   Web of Science ®Google Scholar
• Kirwan M, Vandelanotte C, Fenning A et al. Diabetes self‐management smartphone application for adults with type 1 diabetes: randomized controlled trial. J Med Internet Res 2013; 15: e235.
   Web of Science ®Google Scholar
• Lee CM, Afshari NA. The global state of cataract blindness. Curr Opin Ophthalmol 2017; 28: 98–103.
   PubMed Web of Science ®Google Scholar
• Dogtiev A. App download and usage statistics. 2018. [Cited 4 Jun 2018.] Available at: http://www.businessofapps.com/data/app-statistics/
   Google Scholar
• Yokoi N, Uchino M, Uchino Y et al. Importance of tear film instability in dry eye disease in office workers using visual display terminals: the Osaka study. Am J Ophthalmol 2015; 159: 748–754.
   PubMed Web of Science ®Google Scholar
• Kelly KR, Jost RM, Dao L et al. Binocular iPad game vs patching for treatment of amblyopia in children: a randomized clinical trial. JAMA Ophthalmol 2016; 134: 1402–1408.
   Web of Science ®Google Scholar
• Google Play Store. Homepage. [Cited 4 Jun 2018.] Available at: https://play.google.com/store
   Google Scholar